期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII-B8
页码：591-596
出版社：Copernicus Publications
摘要：Atmospheric MTF(Modulation Transfer Function) takes a critical role in restoration of atmospheric blurred RS(Remote Sensing) images. This MTF can be determined by meteorological data. Among the existing deblurring methods of RS images, the meteorological data is not used in estimation of atmospheric MTF. For CBERS-02(China and Brazil Earth Resource Satellite) RS image data, a new deblurring algorithm is proposed. In this new method, both turbulence and aerosol MTFs are predicted via meteorological parameter measured at weather station on the time when and in the region where the RS image were recorded. The product of these two MTFs is used as the total atmospheric MTF which is combined with Wiener filter. Using the developed algorithm, turbulence blur, aerosol blur and path radiance contrast inconsistent are all corrected simultaneously. The area under MTF curve of restored image is apparent larger than one of original image. Experimental results with CBERS-02 RS images prove that the algorithm works well on restoration of atmospheric degraded images
